Ponencia
Spiking Neural P Systems with Anti-Spikes
Autor/es | Pan, Linqiang
Paun, Gheorghe |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2009 |
Fecha de depósito | 2016-03-22 |
Publicado en |
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ISBN/ISSN | 9788461328369 |
Resumen | Besides usual spikes employed in spiking neural P systems, we consider
"anti-spikes", which participate in spiking and forgetting rules, but also annihilate spikes
when meeting in the same neuron. This simple extension ... Besides usual spikes employed in spiking neural P systems, we consider "anti-spikes", which participate in spiking and forgetting rules, but also annihilate spikes when meeting in the same neuron. This simple extension of spiking neural P systems is shown to considerably simplify the universality proofs in this area: all rules become of the form bc ! b0 or bc ! ¸, where b; b0 are spikes or anti-spikes. Therefore, the regular expressions which control the spiking are the simplest possible, identifying only a singleton. A possible variation is not to produce anti-spikes in neurons, but to consider some "inhibitory synapses", which transform the spikes which pass along them into anti- spikes. Also in this case, universality is rather easy to obtain, with rules of the above simple forms. |
Identificador del proyecto | P08 – TIC 04200 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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15_antispike.pdf | 186.6Kb | [PDF] | Ver/ | |